Kanokorn Trakultaweekoon
Author directoryAlso published as: Kanokorn Trakultaweekool
2013
S-Sense: A Sentiment Analysis Framework for Social Media Sensing
Choochart Haruechaiyasak | Alisa Kongthon | Pornpimon Palingoon | Kanokorn Trakultaweekoon
Proceedings of the IJCNLP 2013 Workshop on Natural Language Processing for Social Media (SocialNLP)
Choochart Haruechaiyasak | Alisa Kongthon | Pornpimon Palingoon | Kanokorn Trakultaweekoon
Proceedings of the IJCNLP 2013 Workshop on Natural Language Processing for Social Media (SocialNLP)
2010
A Supervised Learning based Chunking in Thai using Categorial Grammar
Thepchai Supnithi | Chanon Onman | Peerachet Porkaew | Taneth Ruangrajitpakorn | Kanokorn Trakultaweekool | Asanee Kawtrakul
Proceedings of the Eighth Workshop on Asian Language Resouces
Thepchai Supnithi | Chanon Onman | Peerachet Porkaew | Taneth Ruangrajitpakorn | Kanokorn Trakultaweekool | Asanee Kawtrakul
Proceedings of the Eighth Workshop on Asian Language Resouces
AutoTagTCG : A Framework for Automatic Thai CG Tagging
Thepchai Supnithi | Taneth Ruangrajitpakorn | Kanokorn Trakultaweekool | Peerachet Porkaew
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)
Thepchai Supnithi | Taneth Ruangrajitpakorn | Kanokorn Trakultaweekool | Peerachet Porkaew
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)
This paper aims to develop a framework for automatic CG tagging. We investigated two main algorithms, CRF and Statistical alignment model based on information theory (SAM). We found that SAM gives the best results both in word level and sentence level. We got the accuracy 89.25% in word level and 82.49% in sentence level. Combining both methods can be suited for both known and unknown word.